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Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.
Unsupervised learning of symmetric 3D objects from images, for computer vision and 3D reconstruction.
A Python library for inspecting and understanding neural network models using PatchCore.
A Python library that uses a neural network to provide autocomplete for writing neural network code.
Implementation of the ConvMixer architecture, a novel neural network design for image classification.
A Python library for sentiment analysis, text classification, and other machine learning tasks on Weibo data.
On-premises conversational RAG with configurable containers for building AI-powered apps
A curated collection of resources for machine learning, deep learning, and distributed systems development.
This Python library provides tools for relighting images and improving their visual quality.
RAFT is a PyTorch library for training and evaluating visual transformers, a popular AI model for computer vision tasks.
A collection of notes covering linear algebra concepts, useful for developers working with machine learning and natural language processing.
An open-source collection of video generation models for developers building AI-powered applications.
Generative models for conditional audio generation, focused on vibe coding with AI tools.
Seamlessly integrate large language models (LLMs) like ChatGPT into scikit-learn machine learning pipelines.
A Python library that uses Tensorflow and convolutional neural networks to recognize character-based image captchas.
Comprehensive analytics, versioning, and ETL toolkit for multimodal data (video, audio, PDFs, images)
A vision foundation model from BAAI for generalist painting and segmentation tasks.
A Python wrapper for the ComfyUI AI tool, enabling developers to integrate AI-powered video features.
A CVPR'24 highlighted Python library for building Gaussian Splatting SLAM systems for robotics.
A collection of coding examples using the GPT-5 language model for various AI-powered coding tasks.
An AI-powered security toolkit for LLM vulnerability scanning and red teaming.
A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.
Official TensorFlow implementation of the Noise2Noise: Learning Image Restoration without Clean Data paper.
MultiAgentPPT is an AI-powered presentation generation system that leverages multi-agent collaboration and streaming concurrency.
A curation of the latest CVPR (Computer Vision and Pattern Recognition) papers, code, and demos for AI-powered developers.
A Home Assistant integration and model to control your smart home using a local large language model.
An open-source stock trading algorithm backtesting platform for training AI models on financial data.
A composable GAN framework with API and user interface for building generative AI models.
An open-source data annotation platform for building AI/ML models.
An easy-to-use Python library for generating sentence embeddings using the Smooth Inverse Frequency (SIF) weighting scheme.
Build AI-powered applications that can see, hear, and speak using screens, mics, and cameras.
A Python toolkit for text error correction, featuring models like Kenlm, T5, MacBERT, and ChatGLM3.
Deformable DETR is a state-of-the-art object detection model that uses deformable transformers for end-to-end detection.
Efficient vision foundation models for high-resolution generation and perception.
A pretrained PyTorch implementation of the DeepLabV3 and DeepLabV3+ semantic segmentation models for Pascal VOC and Cityscapes datasets.
OCRFlux is a powerful PDF-to-Markdown conversion toolkit with advanced layout handling, table parsing, and cross-page content merging.
A fast C++ library for approximate nearest neighbor search, useful for various machine learning and data processing tasks.
Swin-Unet is a pure transformer-based model for medical image segmentation, with potential use in AI-powered coding tools.
Simple, hackable offline speech-to-text tool using the VOSK-API, useful for vibe coders building AI apps.
This repository provides code and models for large-scale computer vision research projects using AI tools.
A large and diverse 3D human motion-language dataset for deep learning and motion generation.
A comprehensive repository of 1000+ AI algorithm interview questions across 25 categories for vibe coders.
DeepLab-ResNet reimplementation in TensorFlow for semantic image segmentation.
An open-source implementation of LLaMA-based ChatGPT that runs on a single GPU, with a 15x faster training process.
A comprehensive guide to PyTorch, a popular deep learning framework for AI and machine learning development.
A TensorFlow-based text-to-speech model for vibe coders interested in AI-powered voice applications.
An open-source corpus dataset for chatbots and question-answering systems in the insurance domain.
Comprehensive tools and frameworks for developing foundation models tailored to recommendation systems.
A comprehensive guide and resource for approaching and solving almost any machine learning problem.
An easy-to-use framework for knowledge editing and fine-tuning of large language models (LLMs).
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